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Llama 3.1 70B Instruct vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning leads with 9.3% higher average benchmark score. Llama 3.1 70B Instruct is available on 9 providers. Overall, Phi 4 Reasoning is the stronger choice for coding tasks.
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Meta
Llama 3.1 70B was created as a balanced open-source model, designed to provide strong performance with 70 billion parameters while remaining practical for many deployment scenarios. Built to serve as a versatile foundation for fine-tuning and application development, it combines capability with accessibility in the open-source ecosystem.
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Microsoft
Phi-4 Reasoning was developed to incorporate extended analytical thinking into the Phi-4 architecture, designed to spend more time on complex problem-solving. Built to combine compact model efficiency with reasoning depth, it represents Microsoft's exploration of thoughtful small models.
9 months newer
Llama 3.1 70B Instruct
Meta
2024-07-23
Phi 4 Reasoning
Microsoft
2025-04-30
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Llama 3.1 70B Instruct
Average Score:65.2%
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Phi 4 Reasoning
Average Score:74.5%(+9.3%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Reasoning
2025-03-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.1 70B Instruct
9 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cerebras
Throughput: 1204 tok/s
Latency: 0.2ms
DeepInfra
Throughput: 25 tok/s
Latency: 0.5ms
Fireworks
Throughput: 32 tok/s
Latency: 0.5ms
Groq
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Llama 3.1 70B Instruct
Avg Score:65.2%
Providers:9
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Phi 4 Reasoning
Avg Score:74.5%(+9.3%)
Providers:0